Anubis is a tool used to limit bots from accessing your site. It was developed in response to a massive influx of AI scrapers hammering on sites and consuming system bandwidth and resources. What makes it novel is that it employs a proof of work (making the client do some work) in order to gain access to a website. For most browsers this will be largely unnoticeable but for bots at scale it drastically reduces their ability to crawl sites.
While github now has their own rather extensive MCP server, GitMCP it lightweight and allows you to configure your AI assistant to easily access to analyze the code, summarize it, etc. It takes about 30 seconds to setup and you can run prompts like “Can you summarize the following repository and explain what it does? https://github.com/idosal/git-mcp”
Echarts is not new but it hasn’t been a tool I’ve reached for and it should be. Practically every project we work on has some need for charting. E-charts has a fairly extensive range of available charts, good documentation AND it is open source.
While not brand new, UV is a relative newcomer in the Python ecosystem and very actively developed. It is a python package/project manager that essentially replaces pip, pip-tools, pipx, poetry, pyenv, twine and virtualenv. While re-writing all the things in Rust has practically become a meme, UV is a rethink of existing tools while being fast and effective. I now use it for all my Python projects.
Frequently asked questions
How does Anubis limit scraping?
It requires a client to do work before accessing a website. This responds to AI scrapers consuming site bandwidth and resources.
What can GitMCP help an assistant do?
It can help an AI assistant access, analyze and summarize repository code. The author says setup takes about 30 seconds.
Why did Echarts catch the author's attention?
Almost every project the team works on needs charting. Echarts offers an extensive chart range, good documentation and open-source code.
Which tools does UV replace according to the author?
The author lists pip, pip-tools, pipx, poetry, pyenv, twine and virtualenv. UV is described as a fast, actively developed Python package and project manager.
